Overview

Dataset statistics

Number of variables44
Number of observations9501
Missing cells369752
Missing cells (%)88.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 MiB
Average record size in memory352.0 B

Variable types

Numeric34
Categorical10

Warnings

no_real_estate_adress has constant value "0.0" Constant
no_real_estate_region has constant value "0.0" Constant
am_live_property_rent_300more has constant value "1.0" Constant
kids_actual is highly correlated with sum_royalty and 1 other fieldsHigh correlation
kids_expected is highly correlated with sum_act_sale_property and 4 other fieldsHigh correlation
wife_actual is highly correlated with sum_act_sale_property and 2 other fieldsHigh correlation
total_property_assets is highly correlated with sum_act_property_cash and 3 other fieldsHigh correlation
total_property_assets_divide_income is highly correlated with sum_act_property_cash and 2 other fieldsHigh correlation
sum_income is highly correlated with sum_prev_property_cash and 8 other fieldsHigh correlation
am_avto is highly correlated with sum_royalty and 1 other fieldsHigh correlation
am_real_estate is highly correlated with am_real_estate_without_priceHigh correlation
am_real_estate_without_price is highly correlated with am_real_estateHigh correlation
am_land is highly correlated with sum_royalty and 3 other fieldsHigh correlation
am_land_without_price is highly correlated with sum_royalty and 3 other fieldsHigh correlation
sum_act_property_cash is highly correlated with total_property_assets and 7 other fieldsHigh correlation
sum_act_property_cash_divide_sum_prev_property_cash is highly correlated with total_property_assets and 2 other fieldsHigh correlation
sum_prev_property_cash is highly correlated with sum_income and 3 other fieldsHigh correlation
sum_act_sale_property is highly correlated with kids_expected and 5 other fieldsHigh correlation
sum_prev_sale_property is highly correlated with kids_expected and 5 other fieldsHigh correlation
sum_income_divide_sum_act_property_minus_sum_prev_property is highly correlated with kids_expected and 4 other fieldsHigh correlation
sum_taken_teaching_dopwork is highly correlated with sum_incomeHigh correlation
sum_royalty is highly correlated with kids_actual and 12 other fieldsHigh correlation
sum_royalty_divide_sum_income is highly correlated with kids_actual and 6 other fieldsHigh correlation
sum_income_assets is highly correlated with sum_income and 2 other fieldsHigh correlation
sum_spending is highly correlated with sum_act_property_cash and 4 other fieldsHigh correlation
sum_present is highly correlated with sum_income and 3 other fieldsHigh correlation
sum_prize is highly correlated with am_land and 1 other fieldsHigh correlation
am_lux_car is highly correlated with sum_royaltyHigh correlation
sum_cash is highly correlated with sum_income and 2 other fieldsHigh correlation
sum_cash_assets is highly correlated with total_property_assets and 3 other fieldsHigh correlation
sum_prev_cash_assets is highly correlated with sum_cash_assets and 1 other fieldsHigh correlation
sum_cash_min_year is highly correlated with sum_royaltyHigh correlation
sum_income_min_year is highly correlated with sum_royaltyHigh correlation
sum_spending_divide_sum_income is highly correlated with sum_act_sale_property and 2 other fieldsHigh correlation
am_company_noBeneficInform is highly correlated with sum_act_property_cash and 1 other fieldsHigh correlation
am_company is highly correlated with sum_royalty and 1 other fieldsHigh correlation
sum_money_spending is highly correlated with sum_royalty and 2 other fieldsHigh correlation
sum_crypto is highly correlated with sum_cash_assets and 2 other fieldsHigh correlation
kids_actual has 7218 (76.0%) missing values Missing
kids_expected has 7218 (76.0%) missing values Missing
wife_actual has 7218 (76.0%) missing values Missing
wife_expected has 7218 (76.0%) missing values Missing
total_property_assets has 8706 (91.6%) missing values Missing
total_property_assets_divide_income has 8706 (91.6%) missing values Missing
sum_income has 8220 (86.5%) missing values Missing
am_avto has 8523 (89.7%) missing values Missing
am_avto_without_price has 8608 (90.6%) missing values Missing
am_real_estate has 7355 (77.4%) missing values Missing
am_real_estate_without_price has 7355 (77.4%) missing values Missing
am_land has 7008 (73.8%) missing values Missing
am_land_without_price has 7008 (73.8%) missing values Missing
no_real_estate_adress has 8613 (90.7%) missing values Missing
no_real_estate_region has 9096 (95.7%) missing values Missing
sum_act_property_cash has 9103 (95.8%) missing values Missing
sum_act_property_cash_divide_sum_prev_property_cash has 9103 (95.8%) missing values Missing
sum_prev_property_cash has 9103 (95.8%) missing values Missing
sum_act_sale_property has 9496 (99.9%) missing values Missing
sum_prev_sale_property has 9496 (99.9%) missing values Missing
sum_income_divide_sum_act_property_minus_sum_prev_property has 9496 (99.9%) missing values Missing
sum_taken_teaching_dopwork has 9318 (98.1%) missing values Missing
sum_taken_teaching_dopwork_divide_sum_income has 9318 (98.1%) missing values Missing
sum_royalty has 9488 (99.9%) missing values Missing
sum_royalty_divide_sum_income has 9488 (99.9%) missing values Missing
sum_income_assets has 9412 (99.1%) missing values Missing
sum_spending has 9101 (95.8%) missing values Missing
sum_present has 9091 (95.7%) missing values Missing
sum_prize has 9490 (99.9%) missing values Missing
am_car2013_less150 has 9303 (97.9%) missing values Missing
am_lux_car has 7937 (83.5%) missing values Missing
sum_cash has 7133 (75.1%) missing values Missing
sum_cash_assets has 8711 (91.7%) missing values Missing
sum_prev_cash_assets has 8711 (91.7%) missing values Missing
sum_cash_min_year has 7946 (83.6%) missing values Missing
sum_cash_min_year_divide_sum_income_min_year has 7946 (83.6%) missing values Missing
sum_income_min_year has 7946 (83.6%) missing values Missing
sum_spending_divide_sum_income has 9101 (95.8%) missing values Missing
am_company_noBeneficInform has 8854 (93.2%) missing values Missing
am_company has 9325 (98.1%) missing values Missing
sum_money_spending has 9325 (98.1%) missing values Missing
sum_crypto has 9471 (99.7%) missing values Missing
am_live_property_rent_300more has 9470 (99.7%) missing values Missing
total_property_assets is highly skewed (γ1 = 28.19533451) Skewed
total_property_assets_divide_income is highly skewed (γ1 = 21.87444646) Skewed
sum_income is highly skewed (γ1 = 25.77366478) Skewed
am_real_estate is highly skewed (γ1 = 42.41880221) Skewed
am_real_estate_without_price is highly skewed (γ1 = 44.17174363) Skewed
am_land is highly skewed (γ1 = 30.47729219) Skewed
sum_cash is highly skewed (γ1 = 37.62326254) Skewed
sum_cash_min_year_divide_sum_income_min_year is highly skewed (γ1 = 31.22697984) Skewed
sum_act_sale_property is uniformly distributed Uniform
sum_prev_sale_property is uniformly distributed Uniform
sum_income_divide_sum_act_property_minus_sum_prev_property is uniformly distributed Uniform
id_PEP has unique values Unique
kids_actual has 1359 (14.3%) zeros Zeros

Reproduction

Analysis started2021-04-10 18:58:29.031332
Analysis finished2021-04-10 19:01:18.555038
Duration2 minutes and 49.52 seconds
Software versionpandas-profiling v2.11.0
Download configurationconfig.yaml

Variables

id_PEP
Real number (ℝ≥0)

UNIQUE

Distinct9501
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26403.6273
Minimum1
Maximum54284
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:18.688600image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5005
Q18877
median26377
Q341830
95-th percentile51844
Maximum54284
Range54283
Interquartile range (IQR)32953

Descriptive statistics

Standard deviation16155.47083
Coefficient of variation (CV)0.6118655837
Kurtosis-1.377098265
Mean26403.6273
Median Absolute Deviation (MAD)16740
Skewness0.09748977581
Sum250860863
Variance260999237.8
MonotocityStrictly increasing
2021-04-10T20:01:18.909601image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
389091
 
< 0.1%
483971
 
< 0.1%
238171
 
< 0.1%
53841
 
< 0.1%
94781
 
< 0.1%
156211
 
< 0.1%
360991
 
< 0.1%
340501
 
< 0.1%
340061
 
< 0.1%
279031
 
< 0.1%
Other values (9491)9491
99.9%
ValueCountFrequency (%)
11
< 0.1%
21
< 0.1%
341
< 0.1%
461
< 0.1%
1391
< 0.1%
ValueCountFrequency (%)
542841
< 0.1%
542831
< 0.1%
542821
< 0.1%
542791
< 0.1%
542761
< 0.1%

kids_actual
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct6
Distinct (%)0.3%
Missing7218
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean0.5348226018
Minimum0
Maximum5
Zeros1359
Zeros (%)14.3%
Memory size74.4 KiB
2021-04-10T20:01:19.055329image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7588165988
Coefficient of variation (CV)1.418819243
Kurtosis3.012509918
Mean0.5348226018
Median Absolute Deviation (MAD)0
Skewness1.571485275
Sum1221
Variance0.5758026307
MonotocityNot monotonic
2021-04-10T20:01:19.182207image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
01359
 
14.3%
1688
 
7.2%
2187
 
2.0%
340
 
0.4%
46
 
0.1%
53
 
< 0.1%
(Missing)7218
76.0%
ValueCountFrequency (%)
01359
14.3%
1688
7.2%
2187
 
2.0%
340
 
0.4%
46
 
0.1%
ValueCountFrequency (%)
53
 
< 0.1%
46
 
0.1%
340
 
0.4%
2187
 
2.0%
1688
7.2%

kids_expected
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct7
Distinct (%)0.3%
Missing7218
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean1.593079282
Minimum0
Maximum6
Zeros92
Zeros (%)1.0%
Memory size74.4 KiB
2021-04-10T20:01:19.302317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8541722761
Coefficient of variation (CV)0.5361768783
Kurtosis2.478076126
Mean1.593079282
Median Absolute Deviation (MAD)1
Skewness1.117131544
Sum3637
Variance0.7296102772
MonotocityNot monotonic
2021-04-10T20:01:19.448442image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
11095
 
11.5%
2833
 
8.8%
3200
 
2.1%
092
 
1.0%
443
 
0.5%
516
 
0.2%
64
 
< 0.1%
(Missing)7218
76.0%
ValueCountFrequency (%)
092
 
1.0%
11095
11.5%
2833
8.8%
3200
 
2.1%
443
 
0.5%
ValueCountFrequency (%)
64
 
< 0.1%
516
 
0.2%
443
 
0.5%
3200
 
2.1%
2833
8.8%

wife_actual
Categorical

HIGH CORRELATION
MISSING

Distinct3
Distinct (%)0.1%
Missing7218
Missing (%)76.0%
Memory size74.4 KiB
1.0
1234 
0.0
1048 
2.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters6849
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row0.0
ValueCountFrequency (%)
1.01234
 
13.0%
0.01048
 
11.0%
2.01
 
< 0.1%
(Missing)7218
76.0%
2021-04-10T20:01:19.731242image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-04-10T20:01:19.820215image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
1.01234
54.1%
0.01048
45.9%
2.01
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
03331
48.6%
.2283
33.3%
11234
 
18.0%
21
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number4566
66.7%
Other Punctuation2283
33.3%

Most frequent character per category

ValueCountFrequency (%)
03331
73.0%
11234
 
27.0%
21
 
< 0.1%
ValueCountFrequency (%)
.2283
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common6849
100.0%

Most frequent character per script

ValueCountFrequency (%)
03331
48.6%
.2283
33.3%
11234
 
18.0%
21
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII6849
100.0%

Most frequent character per block

ValueCountFrequency (%)
03331
48.6%
.2283
33.3%
11234
 
18.0%
21
 
< 0.1%

wife_expected
Categorical

MISSING

Distinct3
Distinct (%)0.1%
Missing7218
Missing (%)76.0%
Memory size74.4 KiB
1.0
1563 
0.0
713 
2.0
 
7

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters6849
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0
ValueCountFrequency (%)
1.01563
 
16.5%
0.0713
 
7.5%
2.07
 
0.1%
(Missing)7218
76.0%
2021-04-10T20:01:20.059596image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-04-10T20:01:20.146857image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
1.01563
68.5%
0.0713
31.2%
2.07
 
0.3%

Most occurring characters

ValueCountFrequency (%)
02996
43.7%
.2283
33.3%
11563
22.8%
27
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number4566
66.7%
Other Punctuation2283
33.3%

Most frequent character per category

ValueCountFrequency (%)
02996
65.6%
11563
34.2%
27
 
0.2%
ValueCountFrequency (%)
.2283
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common6849
100.0%

Most frequent character per script

ValueCountFrequency (%)
02996
43.7%
.2283
33.3%
11563
22.8%
27
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII6849
100.0%

Most frequent character per block

ValueCountFrequency (%)
02996
43.7%
.2283
33.3%
11563
22.8%
27
 
0.1%

total_property_assets
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
SKEWED

Distinct775
Distinct (%)97.5%
Missing8706
Missing (%)91.6%
Infinite0
Infinite (%)0.0%
Mean1063843992
Minimum263390.808
Maximum8.241602755 × 1011
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:20.279687image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum263390.808
5-th percentile1192928.176
Q13802227.668
median8551841
Q323478987.05
95-th percentile97684254.3
Maximum8.241602755 × 1011
Range8.241600121 × 1011
Interquartile range (IQR)19676759.38

Descriptive statistics

Standard deviation2.922912956 × 1010
Coefficient of variation (CV)27.47501492
Kurtosis794.9845538
Mean1063843992
Median Absolute Deviation (MAD)6066501
Skewness28.19533451
Sum8.457559737 × 1011
Variance8.543420147 × 1020
MonotocityNot monotonic
2021-04-10T20:01:20.471250image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17739060.232
 
< 0.1%
91470002
 
< 0.1%
2710178.42
 
< 0.1%
5873072.8072
 
< 0.1%
507754402
 
< 0.1%
9544099.9572
 
< 0.1%
129167172
 
< 0.1%
44668587.62
 
< 0.1%
20742285.92
 
< 0.1%
32288542
 
< 0.1%
Other values (765)775
 
8.2%
(Missing)8706
91.6%
ValueCountFrequency (%)
263390.8081
< 0.1%
3550001
< 0.1%
3689251
< 0.1%
381981.8321
< 0.1%
4160431
< 0.1%
ValueCountFrequency (%)
8.241602755 × 10111
< 0.1%
21060699311
< 0.1%
812253700.51
< 0.1%
485731070.41
< 0.1%
437577150.61
< 0.1%

total_property_assets_divide_income
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
SKEWED

Distinct776
Distinct (%)97.6%
Missing8706
Missing (%)91.6%
Infinite0
Infinite (%)0.0%
Mean2895.310132
Minimum10.0038
Maximum1433778.6
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:20.656353image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10.0038
5-th percentile10.45806
Q113.1123
median18.485
Q335.7213
95-th percentile183.60297
Maximum1433778.6
Range1433768.596
Interquartile range (IQR)22.609

Descriptive statistics

Standard deviation58524.14392
Coefficient of variation (CV)20.21342836
Kurtosis498.3799252
Mean2895.310132
Median Absolute Deviation (MAD)7.0061
Skewness21.87444646
Sum2301771.555
Variance3425075421
MonotocityNot monotonic
2021-04-10T20:01:20.842893image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.74063
 
< 0.1%
28.12242
 
< 0.1%
14.00532
 
< 0.1%
13.76922
 
< 0.1%
10.97332
 
< 0.1%
10.73882
 
< 0.1%
20.37462
 
< 0.1%
16.95782
 
< 0.1%
16.06032
 
< 0.1%
23.91212
 
< 0.1%
Other values (766)774
 
8.1%
(Missing)8706
91.6%
ValueCountFrequency (%)
10.00381
< 0.1%
10.04041
< 0.1%
10.04721
< 0.1%
10.05951
< 0.1%
10.10311
< 0.1%
ValueCountFrequency (%)
1433778.61
< 0.1%
818776.81791
< 0.1%
4642.98061
< 0.1%
4194.17481
< 0.1%
2704.99741
< 0.1%

sum_income
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
SKEWED

Distinct1247
Distinct (%)97.3%
Missing8220
Missing (%)86.5%
Infinite0
Infinite (%)0.0%
Mean2797471.658
Minimum1
Maximum772961396
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:21.051472image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile47072
Q1211320
median496488
Q31266457
95-th percentile5864631
Maximum772961396
Range772961395
Interquartile range (IQR)1055137

Descriptive statistics

Standard deviation24621569.32
Coefficient of variation (CV)8.801365065
Kurtosis765.941242
Mean2797471.658
Median Absolute Deviation (MAD)360830
Skewness25.77366478
Sum3583561194
Variance6.062216758 × 1014
MonotocityNot monotonic
2021-04-10T20:01:21.251377image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1200003
 
< 0.1%
2008772
 
< 0.1%
5819432
 
< 0.1%
2935632
 
< 0.1%
7418432
 
< 0.1%
992332
 
< 0.1%
12028042
 
< 0.1%
11520192
 
< 0.1%
4800002
 
< 0.1%
640332
 
< 0.1%
Other values (1237)1260
 
13.3%
(Missing)8220
86.5%
ValueCountFrequency (%)
11
< 0.1%
3091
< 0.1%
10001
< 0.1%
20171
< 0.1%
34511
< 0.1%
ValueCountFrequency (%)
7729613961
< 0.1%
2838831441
< 0.1%
1957517461
< 0.1%
1212823071
< 0.1%
1168851391
< 0.1%

am_avto
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct16
Distinct (%)1.6%
Missing8523
Missing (%)89.7%
Infinite0
Infinite (%)0.0%
Mean2.373210634
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:21.427559image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile8
Maximum20
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.466723908
Coefficient of variation (CV)1.039403697
Kurtosis8.519048315
Mean2.373210634
Median Absolute Deviation (MAD)0
Skewness2.696174961
Sum2321
Variance6.084726836
MonotocityNot monotonic
2021-04-10T20:01:21.569692image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1506
 
5.3%
2260
 
2.7%
368
 
0.7%
655
 
0.6%
720
 
0.2%
817
 
0.2%
1015
 
0.2%
411
 
0.1%
118
 
0.1%
96
 
0.1%
Other values (6)12
 
0.1%
(Missing)8523
89.7%
ValueCountFrequency (%)
1506
5.3%
2260
2.7%
368
 
0.7%
411
 
0.1%
53
 
< 0.1%
ValueCountFrequency (%)
201
< 0.1%
162
< 0.1%
152
< 0.1%
142
< 0.1%
122
< 0.1%

am_avto_without_price
Real number (ℝ≥0)

MISSING

Distinct9
Distinct (%)1.0%
Missing8608
Missing (%)90.6%
Infinite0
Infinite (%)0.0%
Mean1.264277716
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:21.716534image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8047159619
Coefficient of variation (CV)0.6365025279
Kurtosis48.47551619
Mean1.264277716
Median Absolute Deviation (MAD)0
Skewness5.915539184
Sum1129
Variance0.6475677793
MonotocityNot monotonic
2021-04-10T20:01:21.844846image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1738
 
7.8%
2119
 
1.3%
320
 
0.2%
47
 
0.1%
64
 
< 0.1%
102
 
< 0.1%
91
 
< 0.1%
51
 
< 0.1%
71
 
< 0.1%
(Missing)8608
90.6%
ValueCountFrequency (%)
1738
7.8%
2119
 
1.3%
320
 
0.2%
47
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
102
< 0.1%
91
 
< 0.1%
71
 
< 0.1%
64
< 0.1%
51
 
< 0.1%

am_real_estate
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
SKEWED

Distinct10
Distinct (%)0.5%
Missing7355
Missing (%)77.4%
Infinite0
Infinite (%)0.0%
Mean1.491146319
Minimum1
Maximum157
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:21.975290image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum157
Range156
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.459814713
Coefficient of variation (CV)2.320238242
Kurtosis1905.163375
Mean1.491146319
Median Absolute Deviation (MAD)0
Skewness42.41880221
Sum3200
Variance11.97031785
MonotocityNot monotonic
2021-04-10T20:01:22.104383image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
11530
 
16.1%
2425
 
4.5%
3139
 
1.5%
434
 
0.4%
58
 
0.1%
76
 
0.1%
1571
 
< 0.1%
61
 
< 0.1%
121
 
< 0.1%
101
 
< 0.1%
(Missing)7355
77.4%
ValueCountFrequency (%)
11530
16.1%
2425
 
4.5%
3139
 
1.5%
434
 
0.4%
58
 
0.1%
ValueCountFrequency (%)
1571
 
< 0.1%
121
 
< 0.1%
101
 
< 0.1%
76
0.1%
61
 
< 0.1%

am_real_estate_without_price
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
SKEWED

Distinct9
Distinct (%)0.4%
Missing7355
Missing (%)77.4%
Infinite0
Infinite (%)0.0%
Mean1.282385834
Minimum1
Maximum157
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:22.249486image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum157
Range156
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.417551993
Coefficient of variation (CV)2.664995122
Kurtosis2012.066407
Mean1.282385834
Median Absolute Deviation (MAD)0
Skewness44.17174363
Sum2752
Variance11.67966162
MonotocityNot monotonic
2021-04-10T20:01:22.374774image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
11807
 
19.0%
2268
 
2.8%
353
 
0.6%
49
 
0.1%
73
 
< 0.1%
52
 
< 0.1%
102
 
< 0.1%
1571
 
< 0.1%
61
 
< 0.1%
(Missing)7355
77.4%
ValueCountFrequency (%)
11807
19.0%
2268
 
2.8%
353
 
0.6%
49
 
0.1%
52
 
< 0.1%
ValueCountFrequency (%)
1571
 
< 0.1%
102
< 0.1%
73
< 0.1%
61
 
< 0.1%
52
< 0.1%

am_land
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
SKEWED

Distinct32
Distinct (%)1.3%
Missing7008
Missing (%)73.8%
Infinite0
Infinite (%)0.0%
Mean2.705174489
Minimum1
Maximum433
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:22.533023image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile6
Maximum433
Range432
Interquartile range (IQR)1

Descriptive statistics

Standard deviation12.86621341
Coefficient of variation (CV)4.756149175
Kurtosis1006.142451
Mean2.705174489
Median Absolute Deviation (MAD)0
Skewness30.47729219
Sum6744
Variance165.5394475
MonotocityNot monotonic
2021-04-10T20:01:22.721023image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
11259
 
13.3%
2620
 
6.5%
3267
 
2.8%
4130
 
1.4%
580
 
0.8%
645
 
0.5%
722
 
0.2%
815
 
0.2%
108
 
0.1%
97
 
0.1%
Other values (22)40
 
0.4%
(Missing)7008
73.8%
ValueCountFrequency (%)
11259
13.3%
2620
6.5%
3267
 
2.8%
4130
 
1.4%
580
 
0.8%
ValueCountFrequency (%)
4332
< 0.1%
1001
< 0.1%
951
< 0.1%
531
< 0.1%
471
< 0.1%

am_land_without_price
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct25
Distinct (%)1.0%
Missing7008
Missing (%)73.8%
Infinite0
Infinite (%)0.0%
Mean1.983955074
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:22.883424image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum100
Range99
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.88598328
Coefficient of variation (CV)1.95870528
Kurtosis335.4274569
Mean1.983955074
Median Absolute Deviation (MAD)0
Skewness16.34002213
Sum4946
Variance15.10086605
MonotocityNot monotonic
2021-04-10T20:01:23.058446image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
11493
 
15.7%
2590
 
6.2%
3187
 
2.0%
495
 
1.0%
544
 
0.5%
636
 
0.4%
712
 
0.1%
96
 
0.1%
86
 
0.1%
114
 
< 0.1%
Other values (15)20
 
0.2%
(Missing)7008
73.8%
ValueCountFrequency (%)
11493
15.7%
2590
 
6.2%
3187
 
2.0%
495
 
1.0%
544
 
0.5%
ValueCountFrequency (%)
1001
< 0.1%
901
< 0.1%
632
< 0.1%
521
< 0.1%
401
< 0.1%

no_real_estate_adress
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.1%
Missing8613
Missing (%)90.7%
Memory size74.4 KiB
0.0
888 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters2664
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.0888
 
9.3%
(Missing)8613
90.7%
2021-04-10T20:01:23.350784image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-04-10T20:01:23.441840image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0888
100.0%

Most occurring characters

ValueCountFrequency (%)
01776
66.7%
.888
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1776
66.7%
Other Punctuation888
33.3%

Most frequent character per category

ValueCountFrequency (%)
01776
100.0%
ValueCountFrequency (%)
.888
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common2664
100.0%

Most frequent character per script

ValueCountFrequency (%)
01776
66.7%
.888
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII2664
100.0%

Most frequent character per block

ValueCountFrequency (%)
01776
66.7%
.888
33.3%

no_real_estate_region
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.2%
Missing9096
Missing (%)95.7%
Memory size74.4 KiB
0.0
405 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1215
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.0405
 
4.3%
(Missing)9096
95.7%
2021-04-10T20:01:23.665058image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-04-10T20:01:23.763216image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0405
100.0%

Most occurring characters

ValueCountFrequency (%)
0810
66.7%
.405
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number810
66.7%
Other Punctuation405
33.3%

Most frequent character per category

ValueCountFrequency (%)
0810
100.0%
ValueCountFrequency (%)
.405
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common1215
100.0%

Most frequent character per script

ValueCountFrequency (%)
0810
66.7%
.405
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1215
100.0%

Most frequent character per block

ValueCountFrequency (%)
0810
66.7%
.405
33.3%

sum_act_property_cash
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct372
Distinct (%)93.5%
Missing9103
Missing (%)95.8%
Infinite0
Infinite (%)0.0%
Mean2083399542
Minimum1001
Maximum8.241600384 × 1011
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:23.885227image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1001
5-th percentile100330.89
Q1386933
median955459.5
Q31998864.25
95-th percentile12195589.58
Maximum8.241600384 × 1011
Range8.241600374 × 1011
Interquartile range (IQR)1611931.25

Descriptive statistics

Standard deviation4.131100614 × 1010
Coefficient of variation (CV)19.82865279
Kurtosis397.9910017
Mean2083399542
Median Absolute Deviation (MAD)672869.5
Skewness19.94960044
Sum8.291930176 × 1011
Variance1.706599229 × 1021
MonotocityNot monotonic
2021-04-10T20:01:24.079514image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7000002
 
< 0.1%
47082682
 
< 0.1%
3269452
 
< 0.1%
1904398.82
 
< 0.1%
507754402
 
< 0.1%
5500002
 
< 0.1%
10914597.322
 
< 0.1%
4716402
 
< 0.1%
2047086.62
 
< 0.1%
965502
 
< 0.1%
Other values (362)378
 
4.0%
(Missing)9103
95.8%
ValueCountFrequency (%)
10011
< 0.1%
78661
< 0.1%
100111
< 0.1%
269861
< 0.1%
399211
< 0.1%
ValueCountFrequency (%)
8.241600384 × 10111
< 0.1%
21060699311
< 0.1%
17855116851
< 0.1%
1569656871
< 0.1%
579954581
< 0.1%

sum_act_property_cash_divide_sum_prev_property_cash
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct371
Distinct (%)93.2%
Missing9103
Missing (%)95.8%
Infinite0
Infinite (%)0.0%
Mean4367.163937
Minimum5.0051
Maximum740358.1582
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:24.284240image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5.0051
5-th percentile5.19837
Q16.39605
median10.08945
Q320.984375
95-th percentile4300.892
Maximum740358.1582
Range740353.1531
Interquartile range (IQR)14.588325

Descriptive statistics

Standard deviation40105.65701
Coefficient of variation (CV)9.183455805
Kurtosis288.6864239
Mean4367.163937
Median Absolute Deviation (MAD)4.4592
Skewness16.10296276
Sum1738131.247
Variance1608463724
MonotocityNot monotonic
2021-04-10T20:01:24.516111image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.37363
 
< 0.1%
5.41712
 
< 0.1%
17.72422
 
< 0.1%
5.1542
 
< 0.1%
5.14672
 
< 0.1%
7.53422
 
< 0.1%
5.02992
 
< 0.1%
16.01522
 
< 0.1%
14.81052
 
< 0.1%
10.31032
 
< 0.1%
Other values (361)377
 
4.0%
(Missing)9103
95.8%
ValueCountFrequency (%)
5.00511
< 0.1%
5.02992
< 0.1%
5.03051
< 0.1%
5.04651
< 0.1%
5.05271
< 0.1%
ValueCountFrequency (%)
740358.15821
< 0.1%
1775501
< 0.1%
155648.91
< 0.1%
116705.14291
< 0.1%
89729.57781
< 0.1%

sum_prev_property_cash
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct343
Distinct (%)86.2%
Missing9103
Missing (%)95.8%
Infinite0
Infinite (%)0.0%
Mean368126.4642
Minimum1
Maximum47818727.8
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:24.800890image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile23.4
Q120000
median81150
Q3220906
95-th percentile1083608.45
Maximum47818727.8
Range47818726.8
Interquartile range (IQR)200906

Descriptive statistics

Standard deviation2453629.125
Coefficient of variation (CV)6.665179941
Kurtosis354.8663599
Mean368126.4642
Median Absolute Deviation (MAD)71112.7198
Skewness18.3925492
Sum146514332.8
Variance6.020295885 × 1012
MonotocityNot monotonic
2021-04-10T20:01:25.062635image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200004
 
< 0.1%
104
 
< 0.1%
800003
 
< 0.1%
500003
 
< 0.1%
1392343
 
< 0.1%
222774.43
 
< 0.1%
83
 
< 0.1%
163
 
< 0.1%
126572
 
< 0.1%
341562
 
< 0.1%
Other values (333)368
 
3.9%
(Missing)9103
95.8%
ValueCountFrequency (%)
11
 
< 0.1%
22
< 0.1%
71
 
< 0.1%
83
< 0.1%
92
< 0.1%
ValueCountFrequency (%)
47818727.81
< 0.1%
7337229.8251
< 0.1%
47311061
< 0.1%
29850241
< 0.1%
2634498.61
< 0.1%

sum_act_sale_property
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct5
Distinct (%)100.0%
Missing9496
Missing (%)99.9%
Memory size74.4 KiB
377550.0
910420.0
463500.0
230000.0
11300000.0

Length

Max length10
Median length8
Mean length8.4
Min length8

Characters and Unicode

Total characters42
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row11300000.0
2nd row230000.0
3rd row910420.0
4th row463500.0
5th row377550.0
ValueCountFrequency (%)
377550.01
 
< 0.1%
910420.01
 
< 0.1%
463500.01
 
< 0.1%
230000.01
 
< 0.1%
11300000.01
 
< 0.1%
(Missing)9496
99.9%
2021-04-10T20:01:25.375157image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-04-10T20:01:25.484655image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
377550.01
20.0%
230000.01
20.0%
11300000.01
20.0%
910420.01
20.0%
463500.01
20.0%

Most occurring characters

ValueCountFrequency (%)
019
45.2%
.5
 
11.9%
34
 
9.5%
13
 
7.1%
53
 
7.1%
22
 
4.8%
42
 
4.8%
72
 
4.8%
91
 
2.4%
61
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number37
88.1%
Other Punctuation5
 
11.9%

Most frequent character per category

ValueCountFrequency (%)
019
51.4%
34
 
10.8%
13
 
8.1%
53
 
8.1%
22
 
5.4%
42
 
5.4%
72
 
5.4%
91
 
2.7%
61
 
2.7%
ValueCountFrequency (%)
.5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common42
100.0%

Most frequent character per script

ValueCountFrequency (%)
019
45.2%
.5
 
11.9%
34
 
9.5%
13
 
7.1%
53
 
7.1%
22
 
4.8%
42
 
4.8%
72
 
4.8%
91
 
2.4%
61
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII42
100.0%

Most frequent character per block

ValueCountFrequency (%)
019
45.2%
.5
 
11.9%
34
 
9.5%
13
 
7.1%
53
 
7.1%
22
 
4.8%
42
 
4.8%
72
 
4.8%
91
 
2.4%
61
 
2.4%

sum_prev_sale_property
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct5
Distinct (%)100.0%
Missing9496
Missing (%)99.9%
Memory size74.4 KiB
39455.0
16205630.0
0.0
597473.0
123550.0

Length

Max length10
Median length8
Mean length7.2
Min length3

Characters and Unicode

Total characters36
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row16205630.0
2nd row123550.0
3rd row0.0
4th row597473.0
5th row39455.0
ValueCountFrequency (%)
39455.01
 
< 0.1%
16205630.01
 
< 0.1%
0.01
 
< 0.1%
597473.01
 
< 0.1%
123550.01
 
< 0.1%
(Missing)9496
99.9%
2021-04-10T20:01:25.746650image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-04-10T20:01:25.859062image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
0.01
20.0%
123550.01
20.0%
16205630.01
20.0%
597473.01
20.0%
39455.01
20.0%

Most occurring characters

ValueCountFrequency (%)
09
25.0%
56
16.7%
.5
13.9%
34
11.1%
12
 
5.6%
62
 
5.6%
22
 
5.6%
92
 
5.6%
72
 
5.6%
42
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number31
86.1%
Other Punctuation5
 
13.9%

Most frequent character per category

ValueCountFrequency (%)
09
29.0%
56
19.4%
34
12.9%
12
 
6.5%
62
 
6.5%
22
 
6.5%
92
 
6.5%
72
 
6.5%
42
 
6.5%
ValueCountFrequency (%)
.5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common36
100.0%

Most frequent character per script

ValueCountFrequency (%)
09
25.0%
56
16.7%
.5
13.9%
34
11.1%
12
 
5.6%
62
 
5.6%
22
 
5.6%
92
 
5.6%
72
 
5.6%
42
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII36
100.0%

Most frequent character per block

ValueCountFrequency (%)
09
25.0%
56
16.7%
.5
13.9%
34
11.1%
12
 
5.6%
62
 
5.6%
22
 
5.6%
92
 
5.6%
72
 
5.6%
42
 
5.6%

sum_income_divide_sum_act_property_minus_sum_prev_property
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct5
Distinct (%)100.0%
Missing9496
Missing (%)99.9%
Memory size74.4 KiB
2.6595
9.795
3.4259
3.0491
9.1688

Length

Max length6
Median length6
Mean length5.8
Min length5

Characters and Unicode

Total characters29
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row3.0491
2nd row2.6595
3rd row3.4259
4th row9.1688
5th row9.795
ValueCountFrequency (%)
2.65951
 
< 0.1%
9.7951
 
< 0.1%
3.42591
 
< 0.1%
3.04911
 
< 0.1%
9.16881
 
< 0.1%
(Missing)9496
99.9%
2021-04-10T20:01:26.133486image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-04-10T20:01:26.242889image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
9.16881
20.0%
3.04911
20.0%
3.42591
20.0%
9.7951
20.0%
2.65951
20.0%

Most occurring characters

ValueCountFrequency (%)
96
20.7%
.5
17.2%
54
13.8%
32
 
6.9%
42
 
6.9%
12
 
6.9%
22
 
6.9%
62
 
6.9%
82
 
6.9%
01
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number24
82.8%
Other Punctuation5
 
17.2%

Most frequent character per category

ValueCountFrequency (%)
96
25.0%
54
16.7%
32
 
8.3%
42
 
8.3%
12
 
8.3%
22
 
8.3%
62
 
8.3%
82
 
8.3%
01
 
4.2%
71
 
4.2%
ValueCountFrequency (%)
.5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common29
100.0%

Most frequent character per script

ValueCountFrequency (%)
96
20.7%
.5
17.2%
54
13.8%
32
 
6.9%
42
 
6.9%
12
 
6.9%
22
 
6.9%
62
 
6.9%
82
 
6.9%
01
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII29
100.0%

Most frequent character per block

ValueCountFrequency (%)
96
20.7%
.5
17.2%
54
13.8%
32
 
6.9%
42
 
6.9%
12
 
6.9%
22
 
6.9%
62
 
6.9%
82
 
6.9%
01
 
3.4%

sum_taken_teaching_dopwork
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct179
Distinct (%)97.8%
Missing9318
Missing (%)98.1%
Infinite0
Infinite (%)0.0%
Mean956104.0219
Minimum12819
Maximum39947684
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:26.410355image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum12819
5-th percentile34597.5
Q190409
median223655
Q3637485.5
95-th percentile3603463.5
Maximum39947684
Range39934865
Interquartile range (IQR)547076.5

Descriptive statistics

Standard deviation3232923.522
Coefficient of variation (CV)3.381351242
Kurtosis118.4425723
Mean956104.0219
Median Absolute Deviation (MAD)160470
Skewness10.12266673
Sum174967036
Variance1.04517945 × 1013
MonotocityNot monotonic
2021-04-10T20:01:26.636003image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3000003
 
< 0.1%
10234912
 
< 0.1%
20505592
 
< 0.1%
8254061
 
< 0.1%
3392541
 
< 0.1%
1409481
 
< 0.1%
465001
 
< 0.1%
12257391
 
< 0.1%
11929211
 
< 0.1%
39578741
 
< 0.1%
Other values (169)169
 
1.8%
(Missing)9318
98.1%
ValueCountFrequency (%)
128191
< 0.1%
137591
< 0.1%
143231
< 0.1%
150001
< 0.1%
200001
< 0.1%
ValueCountFrequency (%)
399476841
< 0.1%
134468551
< 0.1%
50861771
< 0.1%
46741631
< 0.1%
46275881
< 0.1%
Distinct174
Distinct (%)95.1%
Missing9318
Missing (%)98.1%
Infinite0
Infinite (%)0.0%
Mean56.35332022
Minimum30.064
Maximum100
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:26.854990image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum30.064
5-th percentile30.95489
Q139.6518
median51.6097
Q369.2573
95-th percentile99.86025
Maximum100
Range69.936
Interquartile range (IQR)29.6055

Descriptive statistics

Standard deviation20.00393208
Coefficient of variation (CV)0.3549734427
Kurtosis-0.5485581338
Mean56.35332022
Median Absolute Deviation (MAD)14.9944
Skewness0.6374414187
Sum10312.6576
Variance400.1572988
MonotocityNot monotonic
2021-04-10T20:01:27.188600image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1009
 
0.1%
60.17232
 
< 0.1%
50.2181
 
< 0.1%
49.80491
 
< 0.1%
77.73851
 
< 0.1%
30.95311
 
< 0.1%
93.1431
 
< 0.1%
46.09831
 
< 0.1%
65.20211
 
< 0.1%
87.67131
 
< 0.1%
Other values (164)164
 
1.7%
(Missing)9318
98.1%
ValueCountFrequency (%)
30.0641
< 0.1%
30.06731
< 0.1%
30.21061
< 0.1%
30.39471
< 0.1%
30.70021
< 0.1%
ValueCountFrequency (%)
1009
0.1%
99.93791
 
< 0.1%
99.16141
 
< 0.1%
96.34891
 
< 0.1%
93.1431
 
< 0.1%

sum_royalty
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct12
Distinct (%)92.3%
Missing9488
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean5637424.692
Minimum37922
Maximum31382263
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:27.418075image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum37922
5-th percentile141168.8
Q1318224
median1283600
Q36512000
95-th percentile24398932
Maximum31382263
Range31344341
Interquartile range (IQR)6193776

Descriptive statistics

Standard deviation9424456.06
Coefficient of variation (CV)1.671766201
Kurtosis4.533045473
Mean5637424.692
Median Absolute Deviation (MAD)1073600
Skewness2.218471012
Sum73286521
Variance8.882037202 × 1013
MonotocityNot monotonic
2021-04-10T20:01:27.588580image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
65120002
 
< 0.1%
36000001
 
< 0.1%
4661861
 
< 0.1%
3101471
 
< 0.1%
313822631
 
< 0.1%
3182241
 
< 0.1%
17928011
 
< 0.1%
197433781
 
< 0.1%
2100001
 
< 0.1%
12836001
 
< 0.1%
Other values (2)2
 
< 0.1%
(Missing)9488
99.9%
ValueCountFrequency (%)
379221
< 0.1%
2100001
< 0.1%
3101471
< 0.1%
3182241
< 0.1%
4661861
< 0.1%
ValueCountFrequency (%)
313822631
< 0.1%
197433781
< 0.1%
65120002
< 0.1%
36000001
< 0.1%
17928011
< 0.1%

sum_royalty_divide_sum_income
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct12
Distinct (%)92.3%
Missing9488
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean0.5481846154
Minimum0.2314
Maximum0.948
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:27.753121image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.2314
5-th percentile0.26302
Q10.4328
median0.4872
Q30.7621
95-th percentile0.8736
Maximum0.948
Range0.7166
Interquartile range (IQR)0.3293

Descriptive statistics

Standard deviation0.2276225855
Coefficient of variation (CV)0.415229795
Kurtosis-1.055083567
Mean0.5481846154
Median Absolute Deviation (MAD)0.1997
Skewness0.2916425197
Sum7.1264
Variance0.05181204141
MonotocityNot monotonic
2021-04-10T20:01:27.894178image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.44292
 
< 0.1%
0.9481
 
< 0.1%
0.76641
 
< 0.1%
0.48721
 
< 0.1%
0.28751
 
< 0.1%
0.43281
 
< 0.1%
0.28411
 
< 0.1%
0.67141
 
< 0.1%
0.8241
 
< 0.1%
0.23141
 
< 0.1%
Other values (2)2
 
< 0.1%
(Missing)9488
99.9%
ValueCountFrequency (%)
0.23141
< 0.1%
0.28411
< 0.1%
0.28751
< 0.1%
0.43281
< 0.1%
0.44292
< 0.1%
ValueCountFrequency (%)
0.9481
< 0.1%
0.8241
< 0.1%
0.76641
< 0.1%
0.76211
< 0.1%
0.67141
< 0.1%

sum_income_assets
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct87
Distinct (%)97.8%
Missing9412
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean7349356.718
Minimum35782
Maximum183592776
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:28.090657image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum35782
5-th percentile142043.6
Q1587851
median873823
Q32519835
95-th percentile30502853.08
Maximum183592776
Range183556994
Interquartile range (IQR)1931984

Descriptive statistics

Standard deviation24245473.59
Coefficient of variation (CV)3.298992622
Kurtosis36.2877276
Mean7349356.718
Median Absolute Deviation (MAD)541873
Skewness5.698643772
Sum654092747.9
Variance5.878429897 × 1014
MonotocityNot monotonic
2021-04-10T20:01:28.350396image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6171142
 
< 0.1%
7416092
 
< 0.1%
11344249.291
 
< 0.1%
10883061
 
< 0.1%
56646151
 
< 0.1%
7900281
 
< 0.1%
11551041
 
< 0.1%
25724921
 
< 0.1%
26421443.61
 
< 0.1%
50152861
 
< 0.1%
Other values (77)77
 
0.8%
(Missing)9412
99.1%
ValueCountFrequency (%)
357821
< 0.1%
394651
< 0.1%
659001
< 0.1%
1264741
< 0.1%
1387521
< 0.1%
ValueCountFrequency (%)
1835927761
< 0.1%
117202592.51
< 0.1%
549477641
< 0.1%
468631131
< 0.1%
32609907.81
< 0.1%

sum_spending
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct385
Distinct (%)96.2%
Missing9101
Missing (%)95.8%
Infinite0
Infinite (%)0.0%
Mean9732093.695
Minimum44000
Maximum838480398
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:28.599087image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum44000
5-th percentile228080.9
Q1622450
median1194300
Q32753545.25
95-th percentile25116177.7
Maximum838480398
Range838436398
Interquartile range (IQR)2131095.25

Descriptive statistics

Standard deviation53282889.79
Coefficient of variation (CV)5.474966791
Kurtosis162.2553597
Mean9732093.695
Median Absolute Deviation (MAD)792259
Skewness11.69718619
Sum3892837478
Variance2.839066344 × 1015
MonotocityNot monotonic
2021-04-10T20:01:28.807794image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4000004
 
< 0.1%
3000003
 
< 0.1%
9175492
 
< 0.1%
1600002
 
< 0.1%
26970002
 
< 0.1%
10250002
 
< 0.1%
15322792
 
< 0.1%
1400002
 
< 0.1%
7738502
 
< 0.1%
4750002
 
< 0.1%
Other values (375)377
 
4.0%
(Missing)9101
95.8%
ValueCountFrequency (%)
440001
< 0.1%
490001
< 0.1%
900001
< 0.1%
1030001
< 0.1%
1200001
< 0.1%
ValueCountFrequency (%)
8384803981
< 0.1%
4713506841
< 0.1%
2339463601
< 0.1%
2045083171
< 0.1%
1964410831
< 0.1%

sum_present
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct263
Distinct (%)64.1%
Missing9091
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean1282758.002
Minimum100000
Maximum80545314
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:29.110140image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum100000
5-th percentile100018
Q1197612.75
median363631
Q3770000
95-th percentile3783958.6
Maximum80545314
Range80445314
Interquartile range (IQR)572387.25

Descriptive statistics

Standard deviation4781082.829
Coefficient of variation (CV)3.727190023
Kurtosis188.4164302
Mean1282758.002
Median Absolute Deviation (MAD)213886
Skewness12.21720041
Sum525930781
Variance2.285875302 × 1013
MonotocityNot monotonic
2021-04-10T20:01:29.345344image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000021
 
0.2%
20000014
 
0.1%
30000014
 
0.1%
5000009
 
0.1%
1500006
 
0.1%
7500006
 
0.1%
4500006
 
0.1%
1700005
 
0.1%
4800005
 
0.1%
6000005
 
0.1%
Other values (253)319
 
3.4%
(Missing)9091
95.7%
ValueCountFrequency (%)
10000021
0.2%
1000401
 
< 0.1%
1003641
 
< 0.1%
1029661
 
< 0.1%
1045291
 
< 0.1%
ValueCountFrequency (%)
805453141
< 0.1%
226568441
< 0.1%
225260001
< 0.1%
220000001
< 0.1%
200000001
< 0.1%

sum_prize
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct9
Distinct (%)81.8%
Missing9490
Missing (%)99.9%
Infinite0
Infinite (%)0.0%
Mean126795.2727
Minimum10000
Maximum900000
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:29.554810image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10000
5-th percentile10000
Q110324.5
median25810
Q396000
95-th percentile528005.5
Maximum900000
Range890000
Interquartile range (IQR)85675.5

Descriptive statistics

Standard deviation261187.4755
Coefficient of variation (CV)2.059914931
Kurtosis9.95310983
Mean126795.2727
Median Absolute Deviation (MAD)15810
Skewness3.108925381
Sum1394748
Variance6.821889737 × 1010
MonotocityNot monotonic
2021-04-10T20:01:29.707202image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
100003
 
< 0.1%
9000001
 
< 0.1%
602781
 
< 0.1%
106491
 
< 0.1%
1200001
 
< 0.1%
200001
 
< 0.1%
258101
 
< 0.1%
720001
 
< 0.1%
1560111
 
< 0.1%
(Missing)9490
99.9%
ValueCountFrequency (%)
100003
< 0.1%
106491
 
< 0.1%
200001
 
< 0.1%
258101
 
< 0.1%
602781
 
< 0.1%
ValueCountFrequency (%)
9000001
< 0.1%
1560111
< 0.1%
1200001
< 0.1%
720001
< 0.1%
602781
< 0.1%

am_car2013_less150
Categorical

MISSING

Distinct2
Distinct (%)1.0%
Missing9303
Missing (%)97.9%
Memory size74.4 KiB
1.0
191 
2.0
 
7

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters594
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0
ValueCountFrequency (%)
1.0191
 
2.0%
2.07
 
0.1%
(Missing)9303
97.9%
2021-04-10T20:01:30.048776image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-04-10T20:01:30.182027image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0191
96.5%
2.07
 
3.5%

Most occurring characters

ValueCountFrequency (%)
.198
33.3%
0198
33.3%
1191
32.2%
27
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number396
66.7%
Other Punctuation198
33.3%

Most frequent character per category

ValueCountFrequency (%)
0198
50.0%
1191
48.2%
27
 
1.8%
ValueCountFrequency (%)
.198
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common594
100.0%

Most frequent character per script

ValueCountFrequency (%)
.198
33.3%
0198
33.3%
1191
32.2%
27
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII594
100.0%

Most frequent character per block

ValueCountFrequency (%)
.198
33.3%
0198
33.3%
1191
32.2%
27
 
1.2%

am_lux_car
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct6
Distinct (%)0.4%
Missing7937
Missing (%)83.5%
Infinite0
Infinite (%)0.0%
Mean1.261508951
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:30.268987image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5723657782
Coefficient of variation (CV)0.4537151937
Kurtosis11.17534441
Mean1.261508951
Median Absolute Deviation (MAD)0
Skewness2.860660975
Sum1973
Variance0.3276025841
MonotocityNot monotonic
2021-04-10T20:01:30.412613image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
11230
 
12.9%
2282
 
3.0%
335
 
0.4%
412
 
0.1%
54
 
< 0.1%
61
 
< 0.1%
(Missing)7937
83.5%
ValueCountFrequency (%)
11230
12.9%
2282
 
3.0%
335
 
0.4%
412
 
0.1%
54
 
< 0.1%
ValueCountFrequency (%)
61
 
< 0.1%
54
 
< 0.1%
412
 
0.1%
335
 
0.4%
2282
3.0%

sum_cash
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
SKEWED

Distinct1942
Distinct (%)82.0%
Missing7133
Missing (%)75.1%
Infinite0
Infinite (%)0.0%
Mean8540224.226
Minimum1500880.4
Maximum1733752316
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:30.586963image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1500880.4
5-th percentile1593358.796
Q12094969.6
median3249497.98
Q36961700
95-th percentile27458312
Maximum1733752316
Range1732251436
Interquartile range (IQR)4866730.4

Descriptive statistics

Standard deviation38794854.04
Coefficient of variation (CV)4.542603685
Kurtosis1655.161138
Mean8540224.226
Median Absolute Deviation (MAD)1456884.6
Skewness37.62326254
Sum2.022325097 × 1010
Variance1.5050407 × 1015
MonotocityNot monotonic
2021-04-10T20:01:30.783727image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
153157416
 
0.2%
167080815
 
0.2%
194927615
 
0.2%
417702011
 
0.1%
222774411
 
0.1%
23669789
 
0.1%
36200848
 
0.1%
27846808
 
0.1%
16000008
 
0.1%
17000007
 
0.1%
Other values (1932)2260
 
23.8%
(Missing)7133
75.1%
ValueCountFrequency (%)
1500880.41
 
< 0.1%
15021842
< 0.1%
1502354.521
 
< 0.1%
1503727.23
< 0.1%
1504396.81
 
< 0.1%
ValueCountFrequency (%)
17337523161
< 0.1%
255644813.61
< 0.1%
1778468001
< 0.1%
1659679201
< 0.1%
1562340001
< 0.1%

sum_cash_assets
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct713
Distinct (%)90.3%
Missing8711
Missing (%)91.7%
Infinite0
Infinite (%)0.0%
Mean8249956.826
Minimum71388.7436
Maximum796194714.4
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:30.997607image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum71388.7436
5-th percentile354001.49
Q11012079.45
median1938766.991
Q34163393.65
95-th percentile26709791.03
Maximum796194714.4
Range796123325.7
Interquartile range (IQR)3151314.2

Descriptive statistics

Standard deviation37787941.99
Coefficient of variation (CV)4.580380574
Kurtosis265.3341261
Mean8249956.826
Median Absolute Deviation (MAD)1206172.491
Skewness14.52332484
Sum6517465893
Variance1.427928559 × 1015
MonotocityNot monotonic
2021-04-10T20:01:31.218755image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8354045
 
0.1%
9746384
 
< 0.1%
3800003
 
< 0.1%
5569363
 
< 0.1%
3500003
 
< 0.1%
13923403
 
< 0.1%
25000003
 
< 0.1%
564261.42
 
< 0.1%
4000002
 
< 0.1%
17067592
 
< 0.1%
Other values (703)760
 
8.0%
(Missing)8711
91.7%
ValueCountFrequency (%)
71388.74361
< 0.1%
83540.41
< 0.1%
83951.21
< 0.1%
839991
< 0.1%
1000002
< 0.1%
ValueCountFrequency (%)
796194714.41
< 0.1%
426204772.61
< 0.1%
281245910.11
< 0.1%
277469306.31
< 0.1%
155377568.71
< 0.1%

sum_prev_cash_assets
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct746
Distinct (%)94.4%
Missing8711
Missing (%)91.7%
Infinite0
Infinite (%)0.0%
Mean5583116.982
Minimum10320
Maximum503960261.4
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:31.411794image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum10320
5-th percentile142617.75
Q1568917
median1342146.6
Q33217277.3
95-th percentile19583267.39
Maximum503960261.4
Range503949941.4
Interquartile range (IQR)2648360.3

Descriptive statistics

Standard deviation23346622.26
Coefficient of variation (CV)4.181646621
Kurtosis276.686452
Mean5583116.982
Median Absolute Deviation (MAD)942302.6
Skewness14.4529598
Sum4410662416
Variance5.450647711 × 1014
MonotocityNot monotonic
2021-04-10T20:01:31.737347image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5190143
 
< 0.1%
97072928.22
 
< 0.1%
7170582
 
< 0.1%
4195812
 
< 0.1%
3851697.22
 
< 0.1%
940781.62
 
< 0.1%
3040434.42
 
< 0.1%
11202462
 
< 0.1%
3652574.62
 
< 0.1%
3541462
 
< 0.1%
Other values (736)769
 
8.1%
(Missing)8711
91.7%
ValueCountFrequency (%)
103201
< 0.1%
150651
< 0.1%
157381
< 0.1%
190771
< 0.1%
211041
< 0.1%
ValueCountFrequency (%)
503960261.41
< 0.1%
225564735.91
< 0.1%
143465406.51
< 0.1%
1137110221
< 0.1%
1059463511
< 0.1%

sum_cash_min_year
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct1285
Distinct (%)82.6%
Missing7946
Missing (%)83.6%
Infinite0
Infinite (%)0.0%
Mean9754804.864
Minimum49000
Maximum470610920
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:31.938030image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum49000
5-th percentile500869.68
Q11308799.6
median2884680
Q38065997.08
95-th percentile37229406.5
Maximum470610920
Range470561920
Interquartile range (IQR)6757197.48

Descriptive statistics

Standard deviation26931788.7
Coefficient of variation (CV)2.760874162
Kurtosis123.8337611
Mean9754804.864
Median Absolute Deviation (MAD)2034680
Skewness9.397882639
Sum1.516872156 × 1010
Variance7.253212427 × 1014
MonotocityNot monotonic
2021-04-10T20:01:32.128643image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83540414
 
0.1%
167080814
 
0.1%
139234013
 
0.1%
278468011
 
0.1%
125310610
 
0.1%
83540409
 
0.1%
5569369
 
0.1%
11138728
 
0.1%
18100427
 
0.1%
4177027
 
0.1%
Other values (1275)1453
 
15.3%
(Missing)7946
83.6%
ValueCountFrequency (%)
490001
< 0.1%
717251
< 0.1%
800001
< 0.1%
900001
< 0.1%
111387.21
< 0.1%
ValueCountFrequency (%)
4706109201
< 0.1%
4330151361
< 0.1%
3581842451
< 0.1%
2694549641
< 0.1%
2074750001
< 0.1%

sum_cash_min_year_divide_sum_income_min_year
Real number (ℝ≥0)

MISSING
SKEWED

Distinct1508
Distinct (%)97.0%
Missing7946
Missing (%)83.6%
Infinite0
Infinite (%)0.0%
Mean79.85540064
Minimum5.0013
Maximum41770.2
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:32.314383image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5.0013
5-th percentile5.34681
Q17.26485
median12.1501
Q326.84955
95-th percentile138.44855
Maximum41770.2
Range41765.1987
Interquartile range (IQR)19.5847

Descriptive statistics

Standard deviation1172.991807
Coefficient of variation (CV)14.68894775
Kurtosis1058.549482
Mean79.85540064
Median Absolute Deviation (MAD)5.9955
Skewness31.22697984
Sum124175.148
Variance1375909.78
MonotocityNot monotonic
2021-04-10T20:01:32.491324image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.68973
 
< 0.1%
5.58652
 
< 0.1%
7.25022
 
< 0.1%
5.46612
 
< 0.1%
6.88292
 
< 0.1%
7.17732
 
< 0.1%
23.04772
 
< 0.1%
6.67962
 
< 0.1%
5.04792
 
< 0.1%
18.21482
 
< 0.1%
Other values (1498)1534
 
16.1%
(Missing)7946
83.6%
ValueCountFrequency (%)
5.00131
< 0.1%
5.00981
< 0.1%
5.01072
< 0.1%
5.01331
< 0.1%
5.01641
< 0.1%
ValueCountFrequency (%)
41770.21
< 0.1%
16929.33561
< 0.1%
9926.21531
< 0.1%
2429.82871
< 0.1%
1391.66671
< 0.1%

sum_income_min_year
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct1503
Distinct (%)96.7%
Missing7946
Missing (%)83.6%
Infinite0
Infinite (%)0.0%
Mean586523.0611
Minimum100
Maximum24393125
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:32.675489image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile25739.2
Q191659
median200519
Q3433140.5
95-th percentile2140127.2
Maximum24393125
Range24393025
Interquartile range (IQR)341481.5

Descriptive statistics

Standard deviation1607374.79
Coefficient of variation (CV)2.740514221
Kurtosis104.1032602
Mean586523.0611
Median Absolute Deviation (MAD)131595
Skewness8.935399081
Sum912043360
Variance2.583653714 × 1012
MonotocityNot monotonic
2021-04-10T20:01:32.868801image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23447423
 
< 0.1%
567742
 
< 0.1%
500002
 
< 0.1%
5584842
 
< 0.1%
3487832
 
< 0.1%
1389372
 
< 0.1%
387252
 
< 0.1%
915142
 
< 0.1%
2861392
 
< 0.1%
429462
 
< 0.1%
Other values (1493)1534
 
16.1%
(Missing)7946
83.6%
ValueCountFrequency (%)
1001
< 0.1%
1181
< 0.1%
8171
< 0.1%
10651
< 0.1%
12001
< 0.1%
ValueCountFrequency (%)
243931251
< 0.1%
238384481
< 0.1%
221737441
< 0.1%
183428391
< 0.1%
159735971
< 0.1%

sum_spending_divide_sum_income
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct396
Distinct (%)99.0%
Missing9101
Missing (%)95.8%
Infinite0
Infinite (%)0.0%
Mean305.6788065
Minimum75.4254
Maximum8571.7348
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:33.058497image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum75.4254
5-th percentile78.517115
Q191.916475
median124.75285
Q3214.948875
95-th percentile942.341435
Maximum8571.7348
Range8496.3094
Interquartile range (IQR)123.0324

Descriptive statistics

Standard deviation751.7246241
Coefficient of variation (CV)2.45919772
Kurtosis71.85925097
Mean305.6788065
Median Absolute Deviation (MAD)40.5543
Skewness7.87715858
Sum122271.5226
Variance565089.9105
MonotocityNot monotonic
2021-04-10T20:01:33.231574image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91.91432
 
< 0.1%
167.08732
 
< 0.1%
101.62612
 
< 0.1%
177.67012
 
< 0.1%
206.66311
 
< 0.1%
198.9321
 
< 0.1%
79.56931
 
< 0.1%
122.74551
 
< 0.1%
272.80171
 
< 0.1%
179.20741
 
< 0.1%
Other values (386)386
 
4.1%
(Missing)9101
95.8%
ValueCountFrequency (%)
75.42541
< 0.1%
75.49061
< 0.1%
75.54661
< 0.1%
75.71441
< 0.1%
75.72661
< 0.1%
ValueCountFrequency (%)
8571.73481
< 0.1%
72601
< 0.1%
6951.30741
< 0.1%
4424.87181
< 0.1%
3357.50611
< 0.1%

am_company_noBeneficInform
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct27
Distinct (%)4.2%
Missing8854
Missing (%)93.2%
Infinite0
Infinite (%)0.0%
Mean2.921174652
Minimum1
Maximum91
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:33.392989image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile8.7
Maximum91
Range90
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.249579541
Coefficient of variation (CV)2.13940633
Kurtosis85.60215441
Mean2.921174652
Median Absolute Deviation (MAD)0
Skewness8.045720991
Sum1890
Variance39.05724444
MonotocityNot monotonic
2021-04-10T20:01:33.537930image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1378
 
4.0%
2108
 
1.1%
360
 
0.6%
424
 
0.3%
518
 
0.2%
710
 
0.1%
68
 
0.1%
88
 
0.1%
145
 
0.1%
93
 
< 0.1%
Other values (17)25
 
0.3%
(Missing)8854
93.2%
ValueCountFrequency (%)
1378
4.0%
2108
 
1.1%
360
 
0.6%
424
 
0.3%
518
 
0.2%
ValueCountFrequency (%)
911
< 0.1%
611
< 0.1%
571
< 0.1%
371
< 0.1%
362
< 0.1%

am_company
Categorical

HIGH CORRELATION
MISSING

Distinct5
Distinct (%)2.8%
Missing9325
Missing (%)98.1%
Memory size74.4 KiB
1.0
140 
2.0
29 
3.0
 
3
5.0
 
2
4.0
 
2

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters528
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row1.0
5th row5.0
ValueCountFrequency (%)
1.0140
 
1.5%
2.029
 
0.3%
3.03
 
< 0.1%
5.02
 
< 0.1%
4.02
 
< 0.1%
(Missing)9325
98.1%
2021-04-10T20:01:33.841301image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-04-10T20:01:33.936973image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0140
79.5%
2.029
 
16.5%
3.03
 
1.7%
5.02
 
1.1%
4.02
 
1.1%

Most occurring characters

ValueCountFrequency (%)
.176
33.3%
0176
33.3%
1140
26.5%
229
 
5.5%
33
 
0.6%
52
 
0.4%
42
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number352
66.7%
Other Punctuation176
33.3%

Most frequent character per category

ValueCountFrequency (%)
0176
50.0%
1140
39.8%
229
 
8.2%
33
 
0.9%
52
 
0.6%
42
 
0.6%
ValueCountFrequency (%)
.176
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common528
100.0%

Most frequent character per script

ValueCountFrequency (%)
.176
33.3%
0176
33.3%
1140
26.5%
229
 
5.5%
33
 
0.6%
52
 
0.4%
42
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII528
100.0%

Most frequent character per block

ValueCountFrequency (%)
.176
33.3%
0176
33.3%
1140
26.5%
229
 
5.5%
33
 
0.6%
52
 
0.4%
42
 
0.4%

sum_money_spending
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct176
Distinct (%)100.0%
Missing9325
Missing (%)98.1%
Infinite0
Infinite (%)0.0%
Mean377424284.6
Minimum104400
Maximum3.02376031 × 1010
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:34.078397image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum104400
5-th percentile144917.5
Q1847112
median5064774.5
Q337820934.25
95-th percentile1059158358
Maximum3.02376031 × 1010
Range3.02374987 × 1010
Interquartile range (IQR)36973822.25

Descriptive statistics

Standard deviation2448487574
Coefficient of variation (CV)6.487360974
Kurtosis129.3961003
Mean377424284.6
Median Absolute Deviation (MAD)4874626.5
Skewness10.91354185
Sum6.642667409 × 1010
Variance5.995091402 × 1018
MonotocityNot monotonic
2021-04-10T20:01:34.260555image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33113421
 
< 0.1%
11935971
 
< 0.1%
2719443361
 
< 0.1%
17829091
 
< 0.1%
4702621
 
< 0.1%
290464471
 
< 0.1%
1900001
 
< 0.1%
6944201
 
< 0.1%
4290001
 
< 0.1%
846285911
 
< 0.1%
Other values (166)166
 
1.7%
(Missing)9325
98.1%
ValueCountFrequency (%)
1044001
< 0.1%
1050001
< 0.1%
1062921
< 0.1%
1074401
< 0.1%
1082721
< 0.1%
ValueCountFrequency (%)
3.02376031 × 10101
< 0.1%
1.020132085 × 10101
< 0.1%
53261081151
< 0.1%
27878126061
< 0.1%
23291148711
< 0.1%

sum_crypto
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct29
Distinct (%)96.7%
Missing9471
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean85392956.51
Minimum194.9276
Maximum946825059
Zeros0
Zeros (%)0.0%
Memory size74.4 KiB
2021-04-10T20:01:34.437299image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum194.9276
5-th percentile615.75
Q133492.5243
median118525
Q32622149.488
95-th percentile770301045.2
Maximum946825059
Range946824864.1
Interquartile range (IQR)2588656.964

Descriptive statistics

Standard deviation253433595.9
Coefficient of variation (CV)2.967851287
Kurtosis6.839732178
Mean85392956.51
Median Absolute Deviation (MAD)118195.0362
Skewness2.867547703
Sum2561788695
Variance6.422858751 × 1016
MonotocityNot monotonic
2021-04-10T20:01:34.586756image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
131020332
 
< 0.1%
3118081
 
< 0.1%
7563636961
 
< 0.1%
4651
 
< 0.1%
150001
 
< 0.1%
1088901
 
< 0.1%
8001
 
< 0.1%
25079001
 
< 0.1%
3956211
 
< 0.1%
160001
 
< 0.1%
Other values (19)19
 
0.2%
(Missing)9471
99.7%
ValueCountFrequency (%)
194.92761
< 0.1%
4651
< 0.1%
8001
< 0.1%
125201
< 0.1%
150001
< 0.1%
ValueCountFrequency (%)
9468250591
< 0.1%
7817043311
< 0.1%
7563636961
< 0.1%
371860281
< 0.1%
131020332
< 0.1%

am_live_property_rent_300more
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)3.2%
Missing9470
Missing (%)99.7%
Memory size74.4 KiB
1.0
31 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters93
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0
ValueCountFrequency (%)
1.031
 
0.3%
(Missing)9470
99.7%
2021-04-10T20:01:34.857471image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category
2021-04-10T20:01:34.945866image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
ValueCountFrequency (%)
1.031
100.0%

Most occurring characters

ValueCountFrequency (%)
131
33.3%
.31
33.3%
031
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number62
66.7%
Other Punctuation31
33.3%

Most frequent character per category

ValueCountFrequency (%)
131
50.0%
031
50.0%
ValueCountFrequency (%)
.31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common93
100.0%

Most frequent character per script

ValueCountFrequency (%)
131
33.3%
.31
33.3%
031
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII93
100.0%

Most frequent character per block

ValueCountFrequency (%)
131
33.3%
.31
33.3%
031
33.3%

Interactions

2021-04-10T19:58:32.293756image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-04-10T19:58:32.433590image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-04-10T19:58:32.572989image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2021-04-10T20:01:10.102795image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2021-04-10T20:01:10.517163image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-04-10T20:01:10.672202image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Correlations

2021-04-10T20:01:35.148172image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-04-10T20:01:35.910874image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-04-10T20:01:36.709054image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-04-10T20:01:37.530129image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2021-04-10T20:01:11.139946image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
A simple visualization of nullity by column.
2021-04-10T20:01:13.377209image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2021-04-10T20:01:16.268590image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2021-04-10T20:01:18.088696image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

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Last rows

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